Sr. Software Engineer – Vector Search

Sr. Software Engineer – Vector Search

Requirements

• 5+ years of industry experience building and operating large-scale distributed systems.
• Expertise or strong interest in Search Engines (vector and/or keyword-based), particularly in areas such as indexing, ranking, retrieval infrastructure, and query execution.
• Familiarity with storage systems and database internals.
• Strong foundation in algorithms, data structures, and system design, especially as applied to real-world data processing and retrieval problems.
• Track record of driving high-impact, technically complex initiatives that delivered clear customer or business value.
• Experience leading architecture efforts for performance-sensitive systems (e.g., latency-critical services, multi-tenant platforms, large-scale indexing pipelines).
• Strong communication skills and comfort operating in fast-moving, cross-functional environments.
• Interest in strategic thinking and aligning technical work with product and company goals.
• Passion for mentoring and developing other engineers.

Responsibilities

• Design and implement core components of the Vector Search engine that enable scalable, low-latency search and retrieval across large, multimodal datasets.
• Solve complex technical challenges in areas like indexing, ranking, query execution, and storage — blending traditional information retrieval and modern vector search techniques.
• Collaborate with infrastructure, product, and research teams to define APIs and developer workflows that simplify building production-grade AI applications.
• Deliver high-quality, production-ready code and services end-to-end — including performance tuning, resiliency improvements, and debugging in live environments.
• Help raise the engineering bar through code reviews, design discussions, and mentorship.
• Contribute to long-term planning for search infrastructure and AI systems at Databricks.

Preferred Qualifications

No preferred qualifications provided.